AI-powered aftersales platform for automotive dealers and OEMs
Autoflows builds AI and predictive analytics services for automotive aftersales operations — helping dealers and OEMs automate service reminders, capture repair-to-sales handoffs, and measure customer experience. The tech stack (PostgreSQL, Apache Airflow, HubSpot) supports a data pipeline architecture; the company is now adopting Kubernetes and Kafka while hardening compliance posture (ISO 27001, SOC 2, NIS2). Hiring velocity has decelerated, but leadership roles (Chief Sales Officer) and a multi-country expansion footprint signal a shift toward sales-driven growth.
Notable leadership hires: Chief Sales Officer
Autoflows operates in the automotive digital transformation space, serving car dealers, importers, OEMs, and independent workshops across Europe. The platform automates key aftersales workflows — appointment reminders, service follow-ups, and lead conversion — via API integrations and text analytics on repair-order data. The company runs a customer data platform (HubSpot-anchored) backed by Apache Airflow orchestration and PostgreSQL storage, with observability via Prometheus, Grafana, and Loki. More than 500 automotive service points across Europe use the platform. The organization is 51–200 employees, based in Copenhagen, and operates with a lean structure across engineering, product, sales, and support.
PostgreSQL for storage, Apache Airflow for data orchestration, HubSpot for CRM and marketing automation, Prometheus/Grafana/Loki for observability, and Keycloak for identity management. Infrastructure runs on Hetzner and Proxmox, with Linux and Terraform for infrastructure-as-code.
Core projects include Kubernetes adoption, a data platform with medallion architecture, ISO 27001/SOC 2 compliance, an AI voice bot, developer self-service tooling, and building out the sales organization for new market expansion.
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